NVIDIA DSX Helps Companies Overcome Power Bottleneck

NVIDIA’s DSX platform is being adopted by companies worldwide to address the growing issue of power bottleneck in infrastructure. The problem is acute, with over $300 billion worth of equipment backlog and more than 200 gigawatts of projects waiting in U.S. interconnection queues.

The root cause of this bottleneck lies in siloed systems, where the grid, facility, and compute have been designed independently from one another. This creates conditions for delays, risk, and stranded capacity. To address this issue, NVIDIA DSX brings these systems together by integrating simulation, synchronization, and optimization capabilities.

NVIDIA DSX Sim and SimReady assets allow engineers to simulate the grid, substation, and AI factory as a single system, validating generators, switchgear, power systems, and cooling before construction begins. This comprehensive approach helps prevent costly delays and ensures that infrastructure is designed with efficiency in mind.

The platform also includes NVIDIA DSX Flex, which synchronizes AI factory demand with grid conditions and onsite generation. This enables AI factories to become flexible grid assets, reducing the strain on power resources and improving overall energy efficiency. Additionally, NVIDIA DSX MaxLPS and DSX Exchange optimize compute performance while securely sharing signals across various systems.

GE Vernova is collaborating with NVIDIA DSX by deploying its expertise in grid-to-facility and rack power to complement the platform’s capabilities. This partnership enables customers to transform power constraints into competitive advantages while maximizing compute, token output, sustainability, and grid reliability. By working together, companies can create more efficient and resilient infrastructure.

Hitachi Energy has qualified its battery energy storage system as NVIDIA DSX Ready, allowing customers to identify power infrastructure that meets the platform’s reference architecture design requirements for AI factories. This ensures that infrastructure is designed with scalability, resilience, and reliability in mind, supporting the growth of AI applications.

Schneider Electric, along with AVEVA and ETAP, is advancing NVIDIA DSX by developing validated power and cooling reference architectures using NVIDIA Vera Rubin. The company is also leveraging OpenUSD and Omniverse to connect simulations, real-time operational data, and AI-driven optimization across various solutions. This comprehensive approach enables organizations to design, simulate, operate, and optimize data centers throughout their lifecycle.

Siemens Energy is expanding its collaboration with NVIDIA by developing a reference design for resilient, scalable, and grid-aware power infrastructure across power generation, transmission, and distribution. The company’s Noedra digital twin platform will also explore the use of NVIDIA technologies such as RAPIDS, Metropolis, and Isaac Sim to enhance grid infrastructure monitoring, identify emerging risks, and support unplanned outage prevention.

Phaidra has integrated DSX Flex, Max-Q, and Exchange into its self-learning agents, optimizing cooling and power allocation to maximize tokens per watt. This approach improves grid flexibility and delivers about 10% more compute within the same power envelope. By leveraging NVIDIA’s platform, companies can unlock new levels of efficiency and performance.

Emerald AI has integrated its Conductor platform with DSX Flex to help utilities tap underused grid capacity. This approach is modeled to unlock up to 100 gigawatts on the existing U.S. grid, reducing strain on power resources and improving overall energy efficiency.